David R. Johnson

9.0k total citations
160 papers, 6.0k citations indexed

About

David R. Johnson is a scholar working on Molecular Biology, Ecology and Pollution. According to data from OpenAlex, David R. Johnson has authored 160 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 39 papers in Ecology and 29 papers in Pollution. Recurrent topics in David R. Johnson's work include Microbial Community Ecology and Physiology (27 papers), Evolution and Genetic Dynamics (15 papers) and Wastewater Treatment and Nitrogen Removal (13 papers). David R. Johnson is often cited by papers focused on Microbial Community Ecology and Physiology (27 papers), Evolution and Genetic Dynamics (15 papers) and Wastewater Treatment and Nitrogen Removal (13 papers). David R. Johnson collaborates with scholars based in United States, Switzerland and China. David R. Johnson's co-authors include Jordan S. Pober, Kathrin Fenner, Damian E. Helbling, Lisa Alvarez‐Cohen, Felix Goldschmidt, Elin Lilja, Patrick K. H. Lee, Curtis D. Klaassen, John R. Bradley and Victor F. Holmes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Personality and Social Psychology.

In The Last Decade

David R. Johnson

150 papers receiving 5.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David R. Johnson United States 42 1.9k 1.7k 1.2k 818 778 160 6.0k
Om Prakash India 40 1.9k 1.0× 1.0k 0.6× 1.3k 1.1× 529 0.6× 356 0.5× 319 6.4k
Daisuke Inoue Japan 43 2.8k 1.5× 1.3k 0.8× 527 0.4× 333 0.4× 592 0.8× 237 7.0k
Ruddy Wattiez Belgium 49 3.0k 1.6× 1.5k 0.9× 724 0.6× 690 0.8× 708 0.9× 255 8.4k
Alastair G. McEwan Australia 54 3.4k 1.9× 682 0.4× 1.1k 0.9× 285 0.3× 837 1.1× 205 9.1k
Dapeng Li China 44 1.4k 0.8× 785 0.5× 989 0.8× 1.8k 2.2× 714 0.9× 304 7.2k
Kazuhiko Nakahara Japan 48 2.2k 1.2× 771 0.5× 481 0.4× 338 0.4× 440 0.6× 159 9.4k
Amjad Ali Pakistan 49 2.1k 1.1× 2.3k 1.4× 440 0.4× 407 0.5× 621 0.8× 267 8.8k
Wolf‐Rainer Abraham Germany 44 3.3k 1.8× 1.3k 0.8× 2.1k 1.8× 605 0.7× 284 0.4× 183 7.4k
Masataka Tsuda Japan 43 3.0k 1.6× 1.6k 1.0× 1.2k 1.0× 311 0.4× 432 0.6× 183 6.2k

Countries citing papers authored by David R. Johnson

Since Specialization
Citations

This map shows the geographic impact of David R. Johnson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David R. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Johnson more than expected).

Fields of papers citing papers by David R. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Johnson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David R. Johnson. The network helps show where David R. Johnson may publish in the future.

Co-authorship network of co-authors of David R. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of David R. Johnson. A scholar is included among the top collaborators of David R. Johnson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David R. Johnson. David R. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dai, Jun, Zhiqiang Zhai, Axiang Gao, et al.. (2025). The balance between microbial arsenic methylation and demethylation in paddy soils underpins global arsenic risk and straighthead disease in rice. Proceedings of the National Academy of Sciences. 122(38). e2508311122–e2508311122. 2 indexed citations
2.
Oshiki, Mamoru, et al.. (2023). Denitrification in low oxic environments increases the accumulation of nitrogen oxide intermediates and modulates the evolutionary potential of microbial populations. Environmental Microbiology Reports. 16(1). e13221–e13221. 4 indexed citations
3.
Zhai, Zhiqiang, Wan‐Ying Xie, Jun Dai, et al.. (2023). Two-tiered mutualism improves survival and competitiveness of cross-feeding soil bacteria. The ISME Journal. 17(11). 2090–2102. 31 indexed citations
4.
Johnson, David R., et al.. (2023). Making waves: Enhancing pollutant biodegradation via rational engineering of microbial consortia. Water Research. 247. 120756–120756. 9 indexed citations
5.
Hadadi, Noushin, et al.. (2021). Environmental connectivity controls diversity in soil microbial communities. Communications Biology. 4(1). 492–492. 20 indexed citations
6.
Ju, Feng, Karin Beck, Xiaole Yin, et al.. (2018). Wastewater treatment plant resistomes are shaped by bacterial composition, genetic exchange, and upregulated expression in the effluent microbiomes. The ISME Journal. 13(2). 346–360. 336 indexed citations
7.
Li, Dongyao, et al.. (2014). Measurement of surface acoustic wave velocity using phase shift mask and application on thin film of thermoelectric material. Bulletin of the American Physical Society. 2014.
8.
Helbling, Damian E., David R. Johnson, Tae Kwon Lee, Andreas Scheidegger, & Kathrin Fenner. (2014). A framework for establishing predictive relationships between specific bacterial 16S rRNA sequence abundances and biotransformation rates. Water Research. 70. 471–484. 26 indexed citations
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Al‐Saadi, J. A., R. Bradley Pierce, T. D. Fairlie, et al.. (2005). Lagrangian Characterization of the Sources and Chemical Transformation of Airmasses Observed by the NASA DC-8 During ICARTT/INTEX-A. AGUFM. 2005. 3 indexed citations
12.
Johnson, David R.. (2003). Locus-Specific Constitutive and Cytokine-Induced HLA Class I Gene Expression. The Journal of Immunology. 170(4). 1894–1902. 58 indexed citations
13.
Cherrington, Nathan J., Dylan P. Hartley, Ning Li, David R. Johnson, & Curtis D. Klaassen. (2002). Organ Distribution of Multidrug Resistance Proteins 1, 2, and 3 (Mrp1, 2, and 3) mRNA and Hepatic Induction of Mrp3 by Constitutive Androstane Receptor Activators in Rats. Journal of Pharmacology and Experimental Therapeutics. 300(1). 97–104. 173 indexed citations
14.
Johnson, David R., Grace L. Guo, & Curtis D. Klaassen. (2002). Expression of rat Multidrug Resistance Protein 2 (Mrp2) in male and female rats during normal and pregnenolone-16α-carbonitrile (PCN)-induced postnatal ontogeny. Toxicology. 178(3). 209–219. 29 indexed citations
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Johnson, David R.. (2001). PCR with the fluorogenic DNA stain SYBR® Green I. 6(1). 8–9.
17.
Lechleitner, Sonja, Jens Gille, David R. Johnson, & Peter Petzelbauer. (1998). Interferon Enhances Tumor Necrosis Factor–induced Vascular Cell Adhesion Molecule 1 (CD106) Expression in Human Endothelial Cells by an Interferon-related Factor 1–dependent Pathway. The Journal of Experimental Medicine. 187(12). 2023–2030. 74 indexed citations
18.
Johnson, David R., Sonja Levanat, & A. Bale. (1995). Direct molecular analysis of archival tumor tissue for loss of heterozygosity.. PubMed. 19(2). 190–2. 28 indexed citations
19.
Johnson, David R. & Jordan S. Pober. (1994). HLA Class I Heavy-Chain Gene Promoter Elements Mediating Synergy Between Tumor Necrosis Factor and Interferons. Molecular and Cellular Biology. 14(2). 1322–1332. 32 indexed citations
20.
Johnson, David R.. (1985). Man caused deaths of mountain caribou rangifer tarandus in southeastern british columbia canada. The Canadian Field-Naturalist. 99(4). 542–544. 9 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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